Aseel Mohamed holds a Bachelor's degree in Civil Engineering from the University of Khartoum in Sudan. She earned her Master's degree in Water and Sustainable Development at the IHE Delft Institute for Water Education in the Netherlands, specializing in Digital Innovation and Hydroinformatics.

Before joining Utrecht University, Aseel worked at the University of Khartoum, various research institutes, and consultancies. She contributed to projects on integrated water resources management, water supply, and flood risk management across Sudan and Ethiopia. Her focus was mainly on water supply, hydraulic and hydrological modelling, machine learning, and remote sensing data analysis. Aseel believes strongly in the power of computational models to support decision-making. However, she equally values the integration of community perspectives and political considerations into scientific studies and, when possible, into numerical modeling itself.

Driven by these experiences and motivations, Aseel joined the Department of Physical Geography at the Faculty of Geosciences in December 2024 as a PhD candidate. Her project, entitled “Operationalizing Equity in Quantitative Water Resources Systems Modeling,” aims to better account for regional heterogeneity, informal settlements, and affordability of water access, particularly during drought events. The case study is the Federal District of Brazil, a region characterized by droughts and significant socioeconomic disparities. The research outcome will involve the development of robust, adaptive, and equitable policies using the WaterPaths modeling framework and Borg multi-objective evolutionary optimization algorithms under deep climate and socioeconomic uncertainty.